Self-sovereign management scheme of personal health record with personal data store and decentralized identifier

IF 4.1 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Computational and structural biotechnology journal Pub Date : 2025-01-01 DOI:10.1016/j.csbj.2024.11.036
Tong Min Kim , Taehoon Ko , Byoung Woo Hwang , Hyung Goo Paek , Wan Yeon Lee
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Abstract

Conventional personal health record (PHR) management systems are centralized, making them vulnerable to privacy breaches and single points of failure. Despite progress in standardizing healthcare data with the FHIR format, hospitals often lack efficient platforms for transferring PHRs, leading to redundant tests and delayed treatments. To address these challenges, we propose a decentralized PHR management system leveraging Personal Data Stores (PDS) and Decentralized Identifiers (DIDs) in line with the Web 3.0 model. Our system features secure interoperability and personal identification masking. Interoperability is achieved through DID digital certificates for verifying PDS addresses and a dynamic access key (AK) system to minimize credential exposure. Data de-identification, including anonymization and encryption, ensures privacy and prevents unauthorized access. We developed a prototype using the Solid open-source library and Hyperledger Aries protocol. Testing showed efficient performance, with DID validations and AK generation under one second, and data operations for 500 MB-sized PHRs completing in two seconds. De-identification processes were both effective and timely. The system demonstrated the ability to manage PHRs securely, empower users with control over their healthcare data, facilitate seamless and secure data transfer between patients and medical entities, and prevent exposure of sensitive information. This approach advances decentralized PHR management, supporting improved healthcare outcomes and patient experiences in the digital era.

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具有个人数据存储和分散标识符的个人健康档案自我主权管理方案。
传统的个人健康记录(PHR)管理系统是集中式的,容易受到隐私泄露和单点故障的影响。尽管在使用FHIR格式实现医疗保健数据标准化方面取得了进展,但医院往往缺乏有效的phr转移平台,导致重复检测和延迟治疗。为了应对这些挑战,我们提出了一个基于Web 3.0模型的分散PHR管理系统,该系统利用了个人数据存储(PDS)和分散标识符(did)。我们的系统具有安全的互操作性和个人识别屏蔽。互操作性通过验证PDS地址的DID数字证书和动态访问密钥(AK)系统来实现,以最大限度地减少凭据暴露。数据去识别化,包括匿名化和加密,确保隐私并防止未经授权的访问。我们使用Solid开源库和Hyperledger Aries协议开发了一个原型。测试显示了高效的性能,DID验证和AK生成在一秒钟内完成,500 mb大小的phr的数据操作在两秒钟内完成。去识别过程既有效又及时。该系统展示了安全管理phrr、使用户能够控制其医疗保健数据、促进患者和医疗实体之间无缝和安全的数据传输以及防止敏感信息泄露的能力。这种方法推进了分散的PHR管理,支持在数字时代改善医疗保健结果和患者体验。
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来源期刊
Computational and structural biotechnology journal
Computational and structural biotechnology journal Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
9.30
自引率
3.30%
发文量
540
审稿时长
6 weeks
期刊介绍: Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to: Structure and function of proteins, nucleic acids and other macromolecules Structure and function of multi-component complexes Protein folding, processing and degradation Enzymology Computational and structural studies of plant systems Microbial Informatics Genomics Proteomics Metabolomics Algorithms and Hypothesis in Bioinformatics Mathematical and Theoretical Biology Computational Chemistry and Drug Discovery Microscopy and Molecular Imaging Nanotechnology Systems and Synthetic Biology
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